Skip to main content

C3 - An integrated tool-set for Control, Calibration and Characterization

codecov Language grade: Python Build and Test Documentation Status Code style: black PyPI version fury.io PyPI license PyPI pyversions Binder

The C3 package is intended to close the loop between open-loop control optimization, control pulse calibration, and model-matching based on calibration data.

Installation

pip install c3-toolset

If you want to try out the bleeding edge (possibly buggy) version under development:

pip install c3-toolset-nightly

There is no official support for c3-toolset on Apple Silicon devices, but you can check the CONTRIBUTING.md for instructions on setting up an experimental version.

Usage

C3 provides a simple Python API through which it may integrate with virtually any experimental setup. Contact us at c3@q-optimize.org.

The paper introducing C3 as a scientific concept can be found in Wittler2021. Software and implementation details are described in SahaRoy2022.

Documentation is available here on RTD.

Examples

The following notebooks are available in the examples/ directory and can also be run online using the launch|binder badge above:

Contributing

If you wish to contribute, please check out the issues tab and also the CONTRIBUTING.md for useful resources.

The source code is available on Github at https://github.com/q-optimize/c3.

Citation

If you use c3-toolset in your research, please cite it as below:

@article{Wittler2021,
   title={Integrated Tool Set for Control, Calibration, and Characterization of Quantum Devices Applied to Superconducting Qubits},
   volume={15},
   DOI={10.1103/physrevapplied.15.034080},
   number={3},
   journal={Physical Review Applied},
   author={Wittler, Nicolas and Roy, Federico and Pack, Kevin and Werninghaus, Max and Saha Roy, Anurag and Egger, Daniel J. and Filipp, Stefan and Wilhelm, Frank K. and Machnes, Shai},
   year={2021},
   month={Mar}
}

Metadata

Release files for c3-toolset-nightly 20221115

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for c3-toolset-nightly 20221115
File Size Uploaded Provenance Actions
c3-toolset-nightly-20221115.tar.gz 126.1 kB Without provenance Details for c3-toolset-nightly-20221115.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for c3-toolset-nightly 20221115
File Interpreter ABI Platform Actions
c3_toolset_nightly-20221115-py3-none-any.whl Python 3 none any Details for c3_toolset_nightly-20221115-py3-none-any.whl

Total release size: 242.7 kB

Release files / c3-toolset-nightly-20221115.tar.gz

Download URL c3-toolset-nightly-20221115.tar.gz
Size 126.1 kB
Tags Source
SHA-256 checksum
How to use checksums
4f283bd21e79d68cb7ce1b049f25597224053b60b4306f2290a155553f21581f
BLAKE2b-256 checksum
How to use checksums
b09bd17397473e9beee7c82e2e46b61b53c8709cd707bc4344e92def850a571c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.9.15

Release files / c3_toolset_nightly-20221115-py3-none-any.whl

Download URL c3_toolset_nightly-20221115-py3-none-any.whl
Size 116.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
f419f805fbc0453e0f0a565eb94fc67e57342e264b06afa69c8b12b8ca88cbbc
BLAKE2b-256 checksum
How to use checksums
6fc6472dace9f40c3d4f3c5274b7f3252c39d95225003f0fc82dfebf8f67fc6c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.9.15

Security for c3-toolset-nightly 20221115

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

20221115 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page